Pregled bibliografske jedinice broj: 344582
Application of Genetic Algorithm to the Technological Ooperations Scheduling Problem
Application of Genetic Algorithm to the Technological Ooperations Scheduling Problem // Metalurgija, 47 (2008), 2; 103-107 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 344582 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of Genetic Algorithm to the Technological Ooperations Scheduling Problem
Autori
Lujić, Roberto ; Šarić, Tomislav ; Šimunović, Goran
Izvornik
Metalurgija (0543-5846) 47
(2008), 2;
103-107
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
artificial intelligence; genetic algorithms; manufacturing; scheduling
Sažetak
The basic enterprise task is to satisfy customer requirements: due date, price and quality. Based on experiences from engineers practice of work in Croatian enterprises it could be concluded that enterprises are not able to fulfil obligations to the customer in a way of due dates. One of the basic reasons lies in inappropriate scheduling model that has not had possibility to make plan variants. The paper shows how genetic algorithm could be successfully applied in scheduling model to solve the problem of plan variant. As a basic selection in the paper 3-tournament steady-state selection has been applied.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
152-1521781-2235 - Razvoj ERP sustava za digitalno poduzeće (Šarić, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Strojarski fakultet, Slavonski Brod
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- CA Search (Chemical Abstracts)
